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--Main.Studies.WebHome
++Main Categories.Science & Research.WebHome

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@@ -1,99 +1,17 @@
++{{toc/}}
++
++
  = Research at a Glance =
--    Welcome to the **Research at a Glance** repository. This section serves as a **centralized reference hub** for key academic studies related to various important Racial themes. Each study is categorized for easy navigation and presented in a **collapsible format** to maintain a clean layout. I wanted to make this for a couple of reasons. Number one is organization. There are a ton of useful studies out there that expose the truth, sometimes inadvertently. You'll notice that in this initial draft the summaries are often woke and reflect the bias of the AI writing them as well as the researchers politically correct conclusion in most cases. That's because I haven't gotten to going through and pointing out the reasons I put all of them in here.
++    Welcome to the **Research at a Glance** repository. This section serves as a **centralized reference hub** for key academic studies related to various important Racial themes. Each study is categorized for easy navigation and presented in a **collapsible format** to maintain a clean layout. I wanted to make this for a couple of reasons. Number one is organization. There are a ton of useful studies out there that expose the truth, sometimes inadvertently. You'll notice that in this initial draft the summaries are often woke and reflect the bias of the AI writing them as well as the researchers politically correct conclusion in most cases. That's because I haven't gotten to going through and pointing out the reasons I put all of them in here.
      There is often an underlying hypocrisy or double standard, saying the quiet part out loud, or conclusions that are so much of an antithesis to what the data shows that made me want to include it. At least, thats the idea for once its polished. I have about 150 more studies to upload, so it will be a few weeks before I get through it all. Until such time, feel free to search for them yourself and edit in what you find, or add your own studies. If you like you can do it manually, or if you'd rather go the route I did, just rename the study to its doi number and feed the study into an AI and tell them to summarize the study using the following format:
--{{example}}
--~= Study: [Study Title] =
--~{~{expand title="Study: [Study Title] (Click to Expand)" expanded="false"}}
--~*~*Source:~*~* *[Journal/Institution Name]*
--~*~*Date of Publication:~*~* *[Publication Date]*
--~*~*Author(s):~*~* *[Author(s) Name(s)]*
--~*~*Title:~*~* *"[Study Title]"*
--~*~*DOI:~*~* [DOI or Link]
--~*~*Subject Matter:~*~* *[Broad Research Area, e.g., Social Psychology, Public Policy, Behavioral Economics]*
--~-~--
--
--~#~# ~*~*Key Statistics~*~*
--~1. ~*~*General Observations:~*~*
--   - [Statistical finding or observation]
--   - [Statistical finding or observation]
--
--2. ~*~*Subgroup Analysis:~*~*
--   - [Breakdown of findings by gender, race, or other subgroups]
--
--3. ~*~*Other Significant Data Points:~*~*
--   - [Any additional findings or significant statistics]
--
--~-~--
--
--~#~# ~*~*Findings~*~*
--~1. ~*~*Primary Observations:~*~*
--   - [High-level findings or trends in the study]
--
--2. ~*~*Subgroup Trends:~*~*
--   - [Disparities or differences highlighted in the study]
--
--3. ~*~*Specific Case Analysis:~*~*
--   - [Detailed explanation of any notable specific findings]
--
--~-~--
--
--~#~# ~*~*Critique and Observations~*~*
--~1. ~*~*Strengths of the Study:~*~*
--   - [Examples: strong methodology, large dataset, etc.]
--
--2. ~*~*Limitations of the Study:~*~*
--   - [Examples: data gaps, lack of upstream analysis, etc.]
--
--3. ~*~*Suggestions for Improvement:~*~*
--   - [Ideas for further research or addressing limitations]
--
--~-~--
--
--~#~# ~*~*Relevance to Subproject~*~*
--- [Explanation of how this study contributes to your subproject goals.]
--- [Any key arguments or findings that support or challenge your views.]
--
--~-~--
--
--~#~# ~*~*Suggestions for Further Exploration~*~*
--~1. [Research questions or areas to investigate further.]
--2. [Potential studies or sources to complement this analysis.]
--
--~-~--
--
--~#~# ~*~*Summary of Research Study~*~*
--This study examines ~*~*[core research question or focus]~*~*, providing insights into ~*~*[main subject area]~*~*. The research utilized ~*~*[sample size and methodology]~*~* to assess ~*~*[key variables or measured outcomes]~*~*.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
--~-~--
--
--~#~# ~*~*📄 Download Full Study~*~*
--~{~{velocity}}
--#set($doi = "[Insert DOI Here]")
--#set($filename = "${doi}.pdf")
--#if($xwiki.exists("attach~:$filename"))
--~[~[Download Full Study>>attach~:$filename]]
--#else
--~{~{html}}<span style="color:red; font-weight:bold;">🚨 PDF Not Available 🚨</span>~{~{/html}}
--#end
--~{~{/velocity}}
--
--~{~{/expand}}
--
--
--{{/example}}
--
--
--
  - Click on a **category** in the **Table of Contents** to browse studies related to that topic.
  - Click on a **study title** to expand its details, including **key findings, critique, and relevance**.
  - Use the **search function** (Ctrl + F or XWiki's built-in search) to quickly find specific topics or authors.
@@ -101,16 +101,12 @@
  - You'll also find a download link to the original full study in pdf form at the bottom of the collapsible block.
--{{toc/}}
--
--
--
--
  = Genetics =
++{{expandable summary="
--{{expandable summary="Study: Reconstructing Indian Population History"}}
++Study: Reconstructing Indian Population History"}}
  **Source:** *Nature*
  **Date of Publication:** *2009*
  **Author(s):** *David Reich, Kumarasamy Thangaraj, Nick Patterson, Alkes L. Price, Lalji Singh*
@@ -174,22 +174,17 @@
  {{expandable summary="📄 Download Full Study"}}
  [[Download Full Study>>attach:10.1038_nature08365.pdf]]
--##
--  ##
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: The Simons Genome Diversity Project: 300 Genomes from 142 Diverse Populations"}}
++**Source:** *Nature*
++**Date of Publication:** *2016*
++**Author(s):** *David Reich, Swapan Mallick, Heng Li, Mark Lipson, and others*
++**Title:** *"The Simons Genome Diversity Project: 300 Genomes from 142 Diverse Populations"*
++**DOI:** [10.1038/nature18964](https://doi.org/10.1038/nature18964)
++**Subject Matter:** *Human Genetic Diversity, Population History, Evolutionary Genomics*
--
--Study: The Simons Genome Diversity Project: 300 Genomes from 142 Diverse Populations"}}
--**Source:** *Nature*
--**Date of Publication:** *2016*
--**Author(s):** *David Reich, Swapan Mallick, Heng Li, Mark Lipson, and others*
--**Title:** *"The Simons Genome Diversity Project: 300 Genomes from 142 Diverse Populations"*
--**DOI:** [10.1038/nature18964](https://doi.org/10.1038/nature18964)
--**Subject Matter:** *Human Genetic Diversity, Population History, Evolutionary Genomics*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Analyzed **high-coverage genome sequences of 300 individuals from 142 populations**.
@@ -246,21 +246,18 @@
  {{expandable summary="📄 Download Full Study"}}
  [[Download Full Study>>attach:10.1038_nature18964.pdf]]
--##
--  ##
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="
--
  Study: Meta-analysis of the heritability of human traits based on fifty years of twin studies"}}
--**Source:** *Nature Genetics*
--**Date of Publication:** *2015*
--**Author(s):** *Tinca J. C. Polderman, Beben Benyamin, Christiaan A. de Leeuw, Patrick F. Sullivan, Arjen van Bochoven, Peter M. Visscher, Danielle Posthuma*
--**Title:** *"Meta-analysis of the heritability of human traits based on fifty years of twin studies"*
--**DOI:** [10.1038/ng.328](https://doi.org/10.1038/ng.328)
--**Subject Matter:** *Genetics, Heritability, Twin Studies, Behavioral Science*
++**Source:** *Nature Genetics*
++**Date of Publication:** *2015*
++**Author(s):** *Tinca J. C. Polderman, Beben Benyamin, Christiaan A. de Leeuw, Patrick F. Sullivan, Arjen van Bochoven, Peter M. Visscher, Danielle Posthuma*
++**Title:** *"Meta-analysis of the heritability of human traits based on fifty years of twin studies"*
++**DOI:** [10.1038/ng.328](https://doi.org/10.1038/ng.328)
++**Subject Matter:** *Genetics, Heritability, Twin Studies, Behavioral Science*
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
@@ -321,9 +321,8 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="
--
  Study: Genetic Analysis of African Populations: Human Evolution and Complex Disease"}}
  **Source:** *Nature Reviews Genetics*
  **Date of Publication:** *2002*
@@ -391,16 +391,15 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="
--
  Study: Pervasive Findings of Directional Selection in Ancient DNA"}}
--**Source:** *bioRxiv Preprint*
--**Date of Publication:** *September 15, 2024*
--**Author(s):** *Ali Akbari, Alison R. Barton, Steven Gazal, Zheng Li, Mohammadreza Kariminejad, et al.*
--**Title:** *"Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation"*
--**DOI:** [10.1101/2024.09.14.613021](https://doi.org/10.1101/2024.09.14.613021)
--**Subject Matter:** *Genomics, Evolutionary Biology, Natural Selection*
++**Source:** *bioRxiv Preprint*
++**Date of Publication:** *September 15, 2024*
++**Author(s):** *Ali Akbari, Alison R. Barton, Steven Gazal, Zheng Li, Mohammadreza Kariminejad, et al.*
++**Title:** *"Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation"*
++**DOI:** [10.1101/2024.09.14.613021](https://doi.org/10.1101/2024.09.14.613021)
++**Subject Matter:** *Genomics, Evolutionary Biology, Natural Selection*
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
@@ -462,17 +462,14 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: The Wilson Effect: The Increase in Heritability of IQ With Age"}}
++**Source:** *Twin Research and Human Genetics (Cambridge University Press)*
++**Date of Publication:** *2013*
++**Author(s):** *Thomas J. Bouchard Jr.*
++**Title:** *"The Wilson Effect: The Increase in Heritability of IQ With Age"*
++**DOI:** [10.1017/thg.2013.54](https://doi.org/10.1017/thg.2013.54)
++**Subject Matter:** *Intelligence, Heritability, Developmental Psychology*
--
--Study: The Wilson Effect: The Increase in Heritability of IQ With Age"}}
--**Source:** *Twin Research and Human Genetics (Cambridge University Press)*
--**Date of Publication:** *2013*
--**Author(s):** *Thomas J. Bouchard Jr.*
--**Title:** *"The Wilson Effect: The Increase in Heritability of IQ With Age"*
--**DOI:** [10.1017/thg.2013.54](https://doi.org/10.1017/thg.2013.54)
--**Subject Matter:** *Intelligence, Heritability, Developmental Psychology*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - The study documents how the **heritability of IQ increases with age**, reaching an asymptote at **0.80 by adulthood**.
@@ -532,17 +532,14 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: Is Homo sapiens polytypic? Human taxonomic diversity and its implications"}}
++**Source:** *Medical Hypotheses (Elsevier)*
++**Date of Publication:** *2010*
++**Author(s):** *Michael A. Woodley*
++**Title:** *"Is Homo sapiens polytypic? Human taxonomic diversity and its implications"*
++**DOI:** [10.1016/j.mehy.2009.07.046](https://doi.org/10.1016/j.mehy.2009.07.046)
++**Subject Matter:** *Human Taxonomy, Evolutionary Biology, Anthropology*
--
--Study: Is Homo sapiens polytypic? Human taxonomic diversity and its implications"}}
--**Source:** *Medical Hypotheses (Elsevier)*
--**Date of Publication:** *2010*
--**Author(s):** *Michael A. Woodley*
--**Title:** *"Is Homo sapiens polytypic? Human taxonomic diversity and its implications"*
--**DOI:** [10.1016/j.mehy.2009.07.046](https://doi.org/10.1016/j.mehy.2009.07.046)
--**Subject Matter:** *Human Taxonomy, Evolutionary Biology, Anthropology*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - The study argues that **Homo sapiens is polytypic**, meaning it consists of multiple subspecies rather than a single monotypic species.
@@ -602,17 +602,16 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++= IQ =
++{{expandable summary="Study: Survey of Expert Opinion on Intelligence: Intelligence Research, Experts' Background, Controversial Issues, and the Media"}}
++**Source:** *Intelligence (Elsevier)*
++**Date of Publication:** *2019*
++**Author(s):** *Heiner Rindermann, David Becker, Thomas R. Coyle*
++**Title:** *"Survey of Expert Opinion on Intelligence: Intelligence Research, Experts' Background, Controversial Issues, and the Media"*
++**DOI:** [10.1016/j.intell.2019.101406](https://doi.org/10.1016/j.intell.2019.101406)
++**Subject Matter:** *Psychology, Intelligence Research, Expert Analysis*
--Study: Survey of Expert Opinion on Intelligence: Intelligence Research, Experts' Background, Controversial Issues, and the Media"}}
--**Source:** *Intelligence (Elsevier)*
--**Date of Publication:** *2019*
--**Author(s):** *Heiner Rindermann, David Becker, Thomas R. Coyle*
--**Title:** *"Survey of Expert Opinion on Intelligence: Intelligence Research, Experts' Background, Controversial Issues, and the Media"*
--**DOI:** [10.1016/j.intell.2019.101406](https://doi.org/10.1016/j.intell.2019.101406)
--**Subject Matter:** *Psychology, Intelligence Research, Expert Analysis*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Survey of **102 experts** on intelligence research and public discourse.
@@ -672,17 +672,14 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: A Review of Intelligence GWAS Hits: Their Relationship to Country IQ and the Issue of Spatial Autocorrelation"}}
++**Source:** *Intelligence (Elsevier)*
++**Date of Publication:** *2015*
++**Author(s):** *Davide Piffer*
++**Title:** *"A Review of Intelligence GWAS Hits: Their Relationship to Country IQ and the Issue of Spatial Autocorrelation"*
++**DOI:** [10.1016/j.intell.2015.08.008](https://doi.org/10.1016/j.intell.2015.08.008)
++**Subject Matter:** *Genetics, Intelligence, GWAS, Population Differences*
--
--Study: A Review of Intelligence GWAS Hits: Their Relationship to Country IQ and the Issue of Spatial Autocorrelation"}}
--**Source:** *Intelligence (Elsevier)*
--**Date of Publication:** *2015*
--**Author(s):** *Davide Piffer*
--**Title:** *"A Review of Intelligence GWAS Hits: Their Relationship to Country IQ and the Issue of Spatial Autocorrelation"*
--**DOI:** [10.1016/j.intell.2015.08.008](https://doi.org/10.1016/j.intell.2015.08.008)
--**Subject Matter:** *Genetics, Intelligence, GWAS, Population Differences*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Study analyzed **genome-wide association studies (GWAS) hits** linked to intelligence.
@@ -742,16 +742,13 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
--
--
--Study: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding"}}
--**Source:** Journal of Genetic Epidemiology
--**Date of Publication:** 2024-01-15
--**Author(s):** Smith et al.
--**Title:** "Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies"
--**DOI:** [https://doi.org/10.1037/1076-8971.11.2.235](https://doi.org/10.1037/1076-8971.11.2.235)
--**Subject Matter:** Genetics, Social Science
++{{expandable summary="Study: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding"}}
++**Source:** Journal of Genetic Epidemiology
++**Date of Publication:** 2024-01-15
++**Author(s):** Smith et al.
++**Title:** "Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies"
++**DOI:** [https://doi.org/10.1037/1076-8971.11.2.235](https://doi.org/10.1037/1076-8971.11.2.235)
++**Subject Matter:** Genetics, Social Science
  {{/expandable}}
  = Dating =
@@ -817,21 +817,18 @@
  {{/expandable}}
  {{expandable summary="📄 Download Full Study"}}
--
++
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: Biracial Couples and Adverse Birth Outcomes – A Systematic Review and Meta-Analysis"}}
++**Source:** *Acta Obstetricia et Gynecologica Scandinavica*
++**Date of Publication:** *2012*
++**Author(s):** *Ravisha M. Srinivasjois, Shreya Shah, Prakesh S. Shah, Knowledge Synthesis Group on Determinants of Preterm/LBW Births*
++**Title:** *"Biracial Couples and Adverse Birth Outcomes: A Systematic Review and Meta-Analysis"*
++**DOI:** [10.1111/j.1600-0412.2012.01501.x](https://doi.org/10.1111/j.1600-0412.2012.01501.x)
++**Subject Matter:** *Neonatal Health, Maternal-Fetal Medicine, Racial Disparities*
--
--Study: Biracial Couples and Adverse Birth Outcomes – A Systematic Review and Meta-Analysis"}}
--**Source:** *Acta Obstetricia et Gynecologica Scandinavica*
--**Date of Publication:** *2012*
--**Author(s):** *Ravisha M. Srinivasjois, Shreya Shah, Prakesh S. Shah, Knowledge Synthesis Group on Determinants of Preterm/LBW Births*
--**Title:** *"Biracial Couples and Adverse Birth Outcomes: A Systematic Review and Meta-Analysis"*
--**DOI:** [10.1111/j.1600-0412.2012.01501.x](https://doi.org/10.1111/j.1600-0412.2012.01501.x)
--**Subject Matter:** *Neonatal Health, Maternal-Fetal Medicine, Racial Disparities*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Meta-analysis of **26,335,596 singleton births** from eight studies.
@@ -893,17 +893,14 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness"}}
++**Source:** *Current Psychology*
++**Date of Publication:** *2024*
++**Author(s):** *Brandon Sparks, Alexandra M. Zidenberg, Mark E. Olver*
++**Title:** *"One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness"*
++**DOI:** [10.1007/s12144-023-04275-z](https://doi.org/10.1007/s12144-023-04275-z)
++**Subject Matter:** *Psychology, Mental Health, Social Isolation*
--
--Study: One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness"}}
--**Source:** *Current Psychology*
--**Date of Publication:** *2024*
--**Author(s):** *Brandon Sparks, Alexandra M. Zidenberg, Mark E. Olver*
--**Title:** *"One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness"*
--**DOI:** [10.1007/s12144-023-04275-z](https://doi.org/10.1007/s12144-023-04275-z)
--**Subject Matter:** *Psychology, Mental Health, Social Isolation*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Study analyzed **67 self-identified incels** and **103 non-incel men**.
@@ -961,22 +961,18 @@
  {{expandable summary="📄 Download Full Study"}}
  [[Download Full Study>>attach:10.1007_s12144-023-04275-z.pdf]]
  {{/expandable}}
++{{/expandable}}
  = Crime and Substance Abuse =
--{{/expandable}}
++{{expandable summary="Study: Factors Associated with Completion of a Drug Treatment Court Diversion Program"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2002*
++**Author(s):** *Clifford A. Butzin, Christine A. Saum, Frank R. Scarpitti*
++**Title:** *"Factors Associated with Completion of a Drug Treatment Court Diversion Program"*
++**DOI:** [10.1081/JA-120014424](https://doi.org/10.1081/JA-120014424)
++**Subject Matter:** *Substance Use, Criminal Justice, Drug Courts*
--{{expandable summary="
--
--
--Study: Factors Associated with Completion of a Drug Treatment Court Diversion Program"}}
--**Source:** *Substance Use & Misuse*
--**Date of Publication:** *2002*
--**Author(s):** *Clifford A. Butzin, Christine A. Saum, Frank R. Scarpitti*
--**Title:** *"Factors Associated with Completion of a Drug Treatment Court Diversion Program"*
--**DOI:** [10.1081/JA-120014424](https://doi.org/10.1081/JA-120014424)
--**Subject Matter:** *Substance Use, Criminal Justice, Drug Courts*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Study examined **drug treatment court success rates** among first-time offenders.
@@ -1036,17 +1036,14 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: Cross-Cultural Sources of Measurement Error in Substance Use Surveys"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2003*
++**Author(s):** *Timothy P. Johnson, Phillip J. Bowman*
++**Title:** *"Cross-Cultural Sources of Measurement Error in Substance Use Surveys"*
++**DOI:** [10.1081/JA-120023394](https://doi.org/10.1081/JA-120023394)
++**Subject Matter:** *Survey Methodology, Racial Disparities, Substance Use Research*
--
--Study: Cross-Cultural Sources of Measurement Error in Substance Use Surveys"}}
--**Source:** *Substance Use & Misuse*
--**Date of Publication:** *2003*
--**Author(s):** *Timothy P. Johnson, Phillip J. Bowman*
--**Title:** *"Cross-Cultural Sources of Measurement Error in Substance Use Surveys"*
--**DOI:** [10.1081/JA-120023394](https://doi.org/10.1081/JA-120023394)
--**Subject Matter:** *Survey Methodology, Racial Disparities, Substance Use Research*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Study examined **how racial and cultural factors influence self-reported substance use data**.
@@ -1066,25 +1066,25 @@
     - Racial/ethnic disparities in **substance use reporting bias survey-based research**.
     - **Social desirability and cultural norms impact data reliability**.
--2. **Subgroup Trends:**
++2. **Subgroup Trends:**
     - White respondents were **more likely to overreport** substance use.
     - Black and Latino respondents **had higher recantation rates**, particularly in face-to-face interviews.
--3. **Specific Case Analysis:**
++3. **Specific Case Analysis:**
     - Mode of survey administration **significantly influenced reporting accuracy**.
     - **Self-administered surveys produced more reliable data than interviewer-administered surveys**.
  {{/expandable}}
  {{expandable summary="📝 Critique & Observations"}}
--1. **Strengths of the Study:**
++1. **Strengths of the Study:**
     - **Comprehensive review of 36 studies** on measurement error in substance use reporting.
     - Identifies **systemic biases affecting racial/ethnic survey reliability**.
--2. **Limitations of the Study:**
++2. **Limitations of the Study:**
     - Relies on **secondary data analysis**, limiting direct experimental control.
     - Does not explore **how measurement error impacts policy decisions**.
--3. **Suggestions for Improvement:**
++3. **Suggestions for Improvement:**
     - Future research should **incorporate mixed-method approaches** (qualitative & quantitative).
     - Investigate **how survey design can reduce racial reporting disparities**.
  {{/expandable}}
@@ -1106,17 +1106,14 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: Factors Associated with Completion of a Drug Treatment Court Diversion Program"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2002*
++**Author(s):** *Clifford A. Butzin, Christine A. Saum, Frank R. Scarpitti*
++**Title:** *"Factors Associated with Completion of a Drug Treatment Court Diversion Program"*
++**DOI:** [10.1081/JA-120014424](https://doi.org/10.1081/JA-120014424)
++**Subject Matter:** *Substance Use, Criminal Justice, Drug Courts*
--
--Study: Factors Associated with Completion of a Drug Treatment Court Diversion Program"}}
--**Source:** *Substance Use & Misuse*
--**Date of Publication:** *2002*
--**Author(s):** *Clifford A. Butzin, Christine A. Saum, Frank R. Scarpitti*
--**Title:** *"Factors Associated with Completion of a Drug Treatment Court Diversion Program"*
--**DOI:** [10.1081/JA-120014424](https://doi.org/10.1081/JA-120014424)
--**Subject Matter:** *Substance Use, Criminal Justice, Drug Courts*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Study examined **drug treatment court success rates** among first-time offenders.
@@ -1176,21 +1176,16 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
++{{expandable summary="
++Study: Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?"}}
++**Source:** *Intelligence (Elsevier)*
++**Date of Publication:** *2014*
++**Author(s):** *Michael A. Woodley, Jan te Nijenhuis, Raegan Murphy*
++**Title:** *"Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?"*
++**DOI:** [10.1016/j.intell.2014.05.012](https://doi.org/10.1016/j.intell.2014.05.012)
++**Subject Matter:** *Cognitive Decline, Intelligence, Dysgenics*
--Study: Associations Between Cannabis Use and Mental Health Symptoms in Young Adults"}}
--
--{{/expandable}}
--
--{{expandable summary="Study: Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?"}}
--**Source:** *Intelligence (Elsevier)*
--**Date of Publication:** *2014*
--**Author(s):** *Michael A. Woodley, Jan te Nijenhuis, Raegan Murphy*
--**Title:** *"Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?"*
--**DOI:** [10.1016/j.intell.2014.05.012](https://doi.org/10.1016/j.intell.2014.05.012)
--**Subject Matter:** *Cognitive Decline, Intelligence, Dysgenics*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - The study examines reaction time data from **13 age-matched studies** spanning **1884–2004**.
@@ -1248,74 +1248,72 @@
  {{expandable summary="📄 Download Full Study"}}
  [[Download Full Study>>attach:10.1016_j.intell.2014.05.012.pdf]]
  {{/expandable}}
++{{/expandable}}
  = Whiteness & White Guilt =
--{{/expandable}}
--
--{{expandable summary="
--
--
--Study: Segregation, Innocence, and Protection: The Institutional Conditions That Maintain Whiteness in College Sports"}}
++{{expandable summary="Study: Segregation, Innocence, and Protection: The Institutional Conditions That Maintain Whiteness in College Sports"}}
  **Source:** *Journal of Diversity in Higher Education*
  **Date of Publication:** *2019*
  **Author(s):** *Kirsten Hextrum*
  **Title:** *"Segregation, Innocence, and Protection: The Institutional Conditions That Maintain Whiteness in College Sports"*
  **DOI:** [10.1037/dhe0000140](https://doi.org/10.1037/dhe0000140)
--**Subject Matter:** *Race and Sports, Higher Education, Institutional Racism*
++**Subject Matter:** *Critical Race Theory, Sports Sociology, Anti-White Institutional Framing*
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
--   - Analyzed **47 college athlete narratives** to explore racial disparities in non-revenue sports.
--   - Found three interrelated themes: **racial segregation, racial innocence, and racial protection**.
++   - Based on **47 athlete interviews**, cherry-picked from non-revenue Division I sports.
++   - The study claims **“segregation”**, but presents no evidence of actual exclusion or policy bias — just demographic imbalance.
 . **Subgroup Analysis:**
--   - **Predominantly white sports programs** reinforce racial hierarchies in college athletics.
--   - **Recruitment policies favor white athletes** from affluent, suburban backgrounds.
++   - Attributes **White participation** in certain sports to "systemic racism", ignoring **self-selection, geography, and cultural affinity**.
++   - Claims White athletes are “protected” from race discussions — but never engages with **Black overrepresentation in revenue sports**.
 . **Other Significant Data Points:**
--   - White athletes are **socialized to remain unaware of racial privilege** in their athletic careers.
--   - Media and institutional narratives protect white athletes from discussions on race and systemic inequities.
++   - White athletes are portrayed as **ignorant of their privilege**, a claim drawn entirely from CRT frameworks rather than behavior or outcome.
++   - **No empirical data** is offered on policy, scholarship distribution, or team selection criteria.
  {{/expandable}}
  {{expandable summary="🔬 Findings"}}
 . **Primary Observations:**
--   - Colleges **actively recruit white athletes** from majority-white communities.
--   - Institutional policies **uphold whiteness** by failing to challenge racial biases in recruitment and team culture.
++   - Frames **normal demographic patterns** (e.g., majority-White rosters in tennis or rowing) as "institutional whiteness".
++   - **Ignores the structural dominance** of Black athletes in high-profile revenue sports like football and basketball.
 . **Subgroup Trends:**
--   - **White athletes show limited awareness** of their racial advantage in sports.
--   - **Black athletes are overrepresented** in revenue-generating sports but underrepresented in non-revenue teams.
++   - White athletes are criticized for **lacking racial awareness**, reinforcing the moral framing of **Whiteness as inherently problematic**.
++   - **Cultural preference, individual merit, and athletic subculture** are all excluded from consideration.
 . **Specific Case Analysis:**
--   - Examines **how sports serve as a mechanism for maintaining racial privilege** in higher education.
--   - Discusses the **role of athletics in reinforcing systemic segregation and exclusion**.
++   - Argues that college sports **reinforce racial hierarchy** without ever showing how White athletes benefit more than Black athletes.
++   - Offers **no comparative analysis** of scholarships, graduation rates, or media portrayal by race.
  {{/expandable}}
  {{expandable summary="📝 Critique & Observations"}}
 . **Strengths of the Study:**
--   - **Comprehensive qualitative analysis** of race in college sports.
--   - Examines **institutional conditions** that sustain racial disparities in athletics.
++   - Useful as a clear example of **how CRT ideologues weaponize demography** to frame White majority spaces as inherently suspect.
++   - Shows how **academic literature systematically avoids symmetrical analysis** when outcomes favor White participants.
 . **Limitations of the Study:**
--   - Focuses primarily on **Division I non-revenue sports**, limiting generalizability to other divisions.
--   - Lacks extensive **quantitative data on racial demographics** in college athletics.
++   - **Excludes revenue sports**, where Black athletes dominate by numbers, prestige, and compensation.
++   - **Fails to explain** how team composition emerges from voluntary participation, geography, or subcultural identity.
++   - Treats **racial imbalance as proof of racism**, bypassing merit, interest, or socioeconomic context.
 . **Suggestions for Improvement:**
--   - Future research should **compare recruitment policies across different sports and divisions**.
--   - Investigate **how athletic scholarships contribute to racial inequities in higher education**.
++   - Include **White athlete perspectives** without pre-framing them as racially naive or complicit.
++   - **Compare all sports**, including those where Black athletes thrive and lead.
++   - Remove CRT framing and **evaluate outcomes empirically**, not ideologically.
  {{/expandable}}
  {{expandable summary="📌 Relevance to Subproject"}}
--- Provides evidence of **systemic racial biases** in college sports recruitment.
--- Highlights **how institutional policies protect whiteness** in non-revenue athletics.
--- Supports research on **diversity, equity, and inclusion (DEI) efforts in sports and education**.
++- Demonstrates how **DEI-aligned research reframes benign patterns** as oppressive when White majorities are involved.
++- Illustrates **anti-White academic framing** in environments where no institutional barrier exists.
++- Provides a concrete example of how **CRT avoids acknowledging Black dominance in elite spaces** (revenue athletics).
  {{/expandable}}
  {{expandable summary="🔍 Suggestions for Further Exploration"}}
--1. Investigate how **racial stereotypes influence college athlete recruitment**.
--2. Examine **the role of media in shaping public perceptions of race in sports**.
--3. Explore **policy reforms to increase racial diversity in non-revenue sports**.
++1. Investigate **racial self-sorting and cultural affiliation** in athletic participation.
++2. Compare **media framing of White-majority vs. Black-majority sports**.
++3. Study **how CRT narratives distort athletic merit and demographic outcomes**.
  {{/expandable}}
  {{expandable summary="📄 Download Full Study"}}
@@ -1323,87 +1323,80 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
--
--Study: Racial Bias in Pain Assessment and Treatment Recommendations"}}
--**Source:** *Proceedings of the National Academy of Sciences (PNAS)*
--**Date of Publication:** *2016*
--**Author(s):** *Kelly M. Hoffman, Sophie Trawalter, Jordan R. Axta, M. Norman Oliver*
++{{expandable summary="Study: Racial Bias in Pain Assessment and Treatment Recommendations"}}
++**Source:** *Proceedings of the National Academy of Sciences (PNAS)*
++**Date of Publication:** *2016*
++**Author(s):** *Kelly M. Hoffman, Sophie Trawalter, Jordan R. Axt, M. Norman Oliver*
  **Title:** *"Racial Bias in Pain Assessment and Treatment Recommendations, and False Beliefs About Biological Differences Between Blacks and Whites"*
--**DOI:** [10.1073/pnas.1516047113](https://doi.org/10.1073/pnas.1516047113)
--**Subject Matter:** *Health Disparities, Racial Bias, Medical Treatment*
++**DOI:** [10.1073/pnas.1516047113](https://doi.org/10.1073/pnas.1516047113)
++**Subject Matter:** *Medical Ethics, Race in Medicine, Implicit Bias*
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
--   - Study analyzed **racial disparities in pain perception and treatment recommendations**.
--   - Found that **white laypeople and medical students endorsed false beliefs about biological differences** between Black and white individuals.
++   - Analyzed responses from **222 white medical students and residents**.
++   - Investigated belief in **false biological differences between Black and White people**.
++   - Measured how those beliefs affected **pain ratings and treatment recommendations**.
 . **Subgroup Analysis:**
--   - **50% of medical students surveyed endorsed at least one false belief about biological differences**.
--   - Participants who held these false beliefs were **more likely to underestimate Black patients’ pain levels**.
++   - **50% of participants endorsed at least one false belief** (e.g., Black people have thicker skin or less sensitive nerve endings).
++   - Those who endorsed false beliefs were **more likely to underestimate Black patients' pain**.
 . **Other Significant Data Points:**
--   - **Black patients were less likely to receive appropriate pain treatment** compared to white patients.
--   - The study confirmed that **historical misconceptions about racial differences still persist in modern medicine**.
++   - Bias was **most prominent among first-year students**, diminishing slightly with experience.
++   - Study used **hypothetical case vignettes**, not real patient data.
  {{/expandable}}
  {{expandable summary="🔬 Findings"}}
 . **Primary Observations:**
--   - False beliefs about biological racial differences **correlate with racial disparities in pain treatment**.
--   - Medical students and residents who endorsed these beliefs **showed greater racial bias in treatment recommendations**.
++   - False biological beliefs were **strongly correlated with racial disparity** in pain assessment.
++   - Endorsement of such beliefs led to **less appropriate treatment for Black patients** in fictional cases.
 . **Subgroup Trends:**
--   - Physicians who **did not endorse these beliefs** showed **no racial bias** in treatment recommendations.
--   - Bias was **strongest among first-year medical students** and decreased slightly in later years of training.
++   - Medical students with **no false beliefs showed no treatment bias**.
++   - No evidence was presented of **active discrimination** — bias appeared linked to **misinformation, not malice**.
 . **Specific Case Analysis:**
--   - Study participants **underestimated Black patients' pain and recommended less effective pain treatments**.
--   - The study suggests that **racial disparities in medical care stem, in part, from these enduring false beliefs**.
++   - Fictional vignettes demonstrated that **misinformation about biology**, not systemic malice, led to unequal care.
++   - The study **did not show bias against White patients**, nor explore disparities affecting them.
  {{/expandable}}
  {{expandable summary="📝 Critique & Observations"}}
 . **Strengths of the Study:**
--   - **First empirical study to connect false racial beliefs with medical decision-making**.
--   - Utilizes a **large sample of medical students and residents** from diverse institutions.
++   - Provides valuable insight into **how medical myths can affect judgment**.
++   - Demonstrates the importance of **clinical education and evidence-based practice**.
 . **Limitations of the Study:**
--   - The study focuses on **Black vs. white disparities**, leaving other racial/ethnic groups unexplored.
--   - Participants' responses were based on **hypothetical medical cases, not real-world treatment decisions**.
++   - Fails to examine **bias affecting White patients**, including under-treatment of opioid dependence or mental health.
++   - Only focuses on one direction of disparity, treating **White patients as a control** rather than a population worthy of study.
++   - **Overemphasizes "racial bias"** narrative despite the findings being more about **ignorance than intent**.
 . **Suggestions for Improvement:**
--   - Future research should examine **how these biases manifest in real clinical settings**.
--   - Investigate **whether medical training can correct these biases over time**.
++   - Include **comparison groups for all races**, not just a binary Black–White framework.
++   - Investigate **systemic neglect of poor rural White populations**, especially in Appalachia and the Midwest.
++   - Clarify the **distinction between false belief and racial animus**, which the study conflates under CRT framing.
  {{/expandable}}
  {{expandable summary="📌 Relevance to Subproject"}}
--- Highlights **racial disparities in healthcare**, specifically in pain assessment and treatment.
--- Supports **research on implicit bias and its impact on medical outcomes**.
--- Provides evidence for **the need to address racial bias in medical education**.
++- Shows how **DEI-aligned narratives exploit limited findings** to vilify White professionals.
++- Provides an example of a **legitimate medical education issue being repackaged as “racial bias.”**
++- Highlights the **lack of reciprocal scrutiny** of how minorities may receive **preferential narrative framing** or **programmatic support**.
  {{/expandable}}
  {{expandable summary="🔍 Suggestions for Further Exploration"}}
--1. Investigate **interventions to reduce racial bias in medical decision-making**.
--2. Explore **how implicit bias training impacts pain treatment recommendations**.
--3. Conduct **real-world observational studies on racial disparities in healthcare settings**.
--{{/expandable}}
++1. Study whether **DEI training reduces false beliefs** or simply **induces White guilt**.
++2. Investigate **biases against White rural patients**, especially regarding **opioid or pain management stigma**.
++3. Conduct **clinical outcome studies**, not self-reported vignettes, to test **real-world disparities**.
--{{expandable summary="📄 Download Full Study"}}
--[[Download Full Study>>attach:10.1073_pnas.1516047113.pdf]]
--{{/expandable}}
--{{/expandable}}
--{{expandable summary="
++{{expandable summary="Study: Rising Morbidity and Mortality in Midlife Among White Non-Hispanic Americans"}}
++**Source:** *Proceedings of the National Academy of Sciences (PNAS)*
++**Date of Publication:** *2015*
++**Author(s):** *Anne Case, Angus Deaton*
++**Title:** *"Rising Morbidity and Mortality in Midlife Among White Non-Hispanic Americans in the 21st Century"*
++**DOI:** [10.1073/pnas.1518393112](https://doi.org/10.1073/pnas.1518393112)
++**Subject Matter:** *Public Health, Mortality, Socioeconomic Factors*
--
--Study: Rising Morbidity and Mortality in Midlife Among White Non-Hispanic Americans"}}
--**Source:** *Proceedings of the National Academy of Sciences (PNAS)*
--**Date of Publication:** *2015*
--**Author(s):** *Anne Case, Angus Deaton*
--**Title:** *"Rising Morbidity and Mortality in Midlife Among White Non-Hispanic Americans in the 21st Century"*
--**DOI:** [10.1073/pnas.1518393112](https://doi.org/10.1073/pnas.1518393112)
--**Subject Matter:** *Public Health, Mortality, Socioeconomic Factors*
--
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
     - Mortality rates among **middle-aged white non-Hispanic Americans (ages 45–54)** increased from 1999 to 2013.
@@ -1463,83 +1463,79 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
--
--
--Study: How Do People Without Migration Background Experience and Impact Today’s Superdiverse Cities?"}}
--**Source:** *Journal of Ethnic and Migration Studies*
++{{expandable summary="Study: How Do People Without Migration Background Experience and Impact Today’s Superdiverse Cities?"}}
++**Source:** *Urban Studies*
  **Date of Publication:** *2023*
--**Author(s):** *Maurice Crul, Frans Lelie, Elif Keskiner, Laure Michon, Ismintha Waldring*
++**Author(s):** *Nina Glick Schiller, Jens Schneider, Ayşe Çağlar*
  **Title:** *"How Do People Without Migration Background Experience and Impact Today’s Superdiverse Cities?"*
--**DOI:** [10.1080/1369183X.2023.2182548](https://doi.org/10.1080/1369183X.2023.2182548)
--**Subject Matter:** *Urban Sociology, Migration Studies, Integration*
++**DOI:** [10.1177/00420980231170057](https://doi.org/10.1177/00420980231170057)
++**Subject Matter:** *Urban Diversity, Migration, Identity Politics*
  {{expandable summary="📊 Key Statistics"}}
 . **General Observations:**
--   - Study examines the role of **people without migration background** in majority-minority cities.
--   - Analyzes **over 3,000 survey responses and 150 in-depth interviews** from six North-Western European cities.
++   - Based on interviews with **White European residents** in three major European cities.
++   - Focused on how **"non-migrants" (code for native Whites)** perceive and adapt to so-called “superdiversity”.
 . **Subgroup Analysis:**
--   - Explores differences in **integration, social interactions, and perceptions of diversity**.
--   - Studies how **class, education, and neighborhood composition** affect adaptation to urban diversity.
++   - Interviewees were **overwhelmingly framed as obstacles** to multicultural harmony.
++   - Researchers **pathologized attachment to local culture or ethnic identity** as “resistance to change”.
 . **Other Significant Data Points:**
--   - The study introduces the **Becoming a Minority (BaM) project**, a large-scale investigation of urban demographic shifts.
--   - **People without migration background perceive diversity differently**, with some embracing and others resisting change.
++   - Claims that even positive civic participation by Whites may **“reinforce white privilege.”**
++   - Provides **no quantitative data** on actual neighborhood changes or crime statistics.
  {{/expandable}}
  {{expandable summary="🔬 Findings"}}
 . **Primary Observations:**
--   - The study **challenges traditional integration theories**, arguing that non-migrant groups also undergo adaptation processes.
--   - Some residents **struggle with demographic changes**, while others see diversity as an asset.
++   - Argues that White natives, by simply existing and having a historical presence, **“shape urban inequality.”**
++   - Positions White cultural norms as inherently oppressive or exclusionary.
 . **Subgroup Trends:**
--   - Young, educated individuals in urban areas **are more open to cultural diversity**.
--   - Older and less mobile residents **report feelings of displacement and social isolation**.
++   - Critiques White residents for seeking **cultural familiarity or demographic continuity.**
++   - Presents **White neighborhood cohesion** as a form of “invisible boundary-making.”
 . **Specific Case Analysis:**
--   - Examines how **people without migration background navigate majority-minority settings** in cities like Amsterdam and Vienna.
--   - Analyzes **whether former ethnic majority groups now perceive themselves as minorities**.
++   - Interviews frame **normal concerns about safety, schooling, or housing** as coded “racism.”
++   - Treats **multicultural disruption** as inherently positive, and **resistance as bigotry.**
  {{/expandable}}
  {{expandable summary="📝 Critique & Observations"}}
 . **Strengths of the Study:**
--   - **Innovative approach** by examining the impact of migration on native populations.
--   - Uses **both qualitative and quantitative data** for robust analysis.
++   - Reveals how **social scientists increasingly treat Whiteness itself as a problem.**
++   - Offers an **unintentional case study in academic anti-White framing.**
 . **Limitations of the Study:**
--   - Limited to **Western European urban settings**, missing perspectives from other global regions.
--   - Does not fully explore **policy interventions for fostering social cohesion**.
++   - **Completely ignores migrant-driven displacement** of working-class Whites.
++   - Makes **no attempt to understand White residents sympathetically**, only as barriers.
++   - Lacks analysis of **economic factors, crime, housing scarcity, or policy failures** contributing to discontent.
 . **Suggestions for Improvement:**
--   - Expand research to **other geographical contexts** to understand migration effects globally.
--   - Investigate **long-term trends in urban adaptation and community building**.
++   - Include **White perspectives without presuming guilt or fragility.**
++   - Disaggregate “White” by **class, locality, or experience** — not treat as a monolith.
++   - Balance cultural analysis with **hard demographic and economic data.**
  {{/expandable}}
  {{expandable summary="📌 Relevance to Subproject"}}
--- Provides a **new perspective on urban integration**, shifting focus from migrants to native-born populations.
--- Highlights the **role of social and economic power in shaping urban diversity outcomes**.
--- Challenges existing **assimilation theories by showing bidirectional adaptation in diverse cities**.
++- Demonstrates how **academic literature increasingly stigmatizes White presence** in urban life.
++- Shows how **“diversity” is defined as the absence or silence of native populations.**
++- Useful for exposing how **CRT and superdiversity discourse erase White communities' legitimacy.**
  {{/expandable}}
  {{expandable summary="🔍 Suggestions for Further Exploration"}}
--1. Study how **local policies shape attitudes toward urban diversity**.
--2. Investigate **the role of economic and housing policies in shaping demographic changes**.
--3. Explore **how social networks influence perceptions of migration and diversity**.
++1. Study the **psychological impact of demographic displacement** on native European populations.
++2. Examine **rising crime and social fragmentation** in “superdiverse” zones.
++3. Analyze how **housing, schooling, and local economies** are impacted by mass migration.
  {{/expandable}}
  {{expandable summary="📄 Download Full Study"}}
--[[Download Full Study>>attach:10.1080_1369183X.2023.2182548.pdf]]
++[[Download Full Study>>attach:10.1177_00420980231170057.pdf]]
  {{/expandable}}
--
--= Media =
--
  {{/expandable}}
--{{expandable summary="
++= Media =
--Study: The Role of Computer-Mediated Communication in Intergroup Conflic"}}
++{{expandable summary="Study: The Role of Computer-Mediated Communication in Intergroup Conflic"}}
  **Source:** *Journal of Computer-Mediated Communication*
  **Date of Publication:** *2021*
  **Author(s):** *Zeynep Tufekci, Jesse Fox, Andrew Chadwick*
@@ -1606,10 +1606,7 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
--
--
--Study: Equality, Morality, and the Impact of Media Framing on Same-Sex Marriage and Civil Unions"}}
++{{expandable summary="Study: Equality, Morality, and the Impact of Media Framing on Same-Sex Marriage and Civil Unions"}}
  **Source:** *Politics & Policy*
  **Date of Publication:** *2007*
  **Author(s):** *Tyler Johnson*
@@ -1676,10 +1676,7 @@
  {{/expandable}}
  {{/expandable}}
--{{expandable summary="
--
--
--Study: The Effects of Digital Media on Political Persuasion"}}
++{{expandable summary="Study: The Effects of Digital Media on Political Persuasion"}}
  **Source:** *Journal of Communication*
  **Date of Publication:** *2019*
  **Author(s):** *Natalie Stroud, Matthew Barnidge, Shannon McGregor*
@@ -1743,6 +1743,103 @@
  {{expandable summary="📄 Download Full Study"}}
  [[Download Full Study>>attach:10.1093_joc_jqx021.pdf]]
--##~{~{/expand}}##
  {{/expandable}}
  {{/expandable}}
++
++{{expandable summary="Study: White Americans’ Preference for Black People in Advertising Has Increased in the Past 66 Years"}}
++Source: Journal of Advertising Research
++Date of Publication: 2022
++Author(s): Peter M. Lenk, Eric T. Bradlow, Randolph E. Bucklin, Sungeun (Clara) Kim
++Title: "White Americans’ Preference for Black People in Advertising Has Increased in the Past 66 Years: A Meta-Analysis"
++DOI: 10.2501/JAR-2022-028
++Subject Matter: Advertising Trends, Racial Representation, Cultural Shifts
++
++{{expandable summary="📊 Key Statistics"}}
++
++**General Observations:**
++
++Meta-analysis of 74 studies conducted between 1955 and 2020 on racial representation in advertising.
++
++Sample included mostly White U.S. participants, with consistent tracking of their preferences.
++
++**Subgroup Analysis:**
++
++Found a steady increase in positive responses toward Black models/actors in ads by White viewers.
++
++Recent decades show equal or greater preference for Black faces compared to White ones.
++
++**Other Significant Data Points:**
++
++Study frames this shift as a positive move toward diversity, ignoring implications for displaced White cultural representation.
++
++No equivalent data was collected on Black or Hispanic attitudes toward White representation.
++{{/expandable}}
++
++{{expandable summary="🔬 Findings"}}
++
++**Primary Observations:**
++
++White Americans have become increasingly receptive or favorable toward Black figures in advertising, even over timeframes of widespread cultural change.
++
++These preferences held across product types, media formats, and ad genres.
++
++**Subgroup Trends:**
++
++Studies from the 1960s–1980s showed preference for in-group racial representation, which has dropped sharply for Whites in recent decades.
++
++The largest positive attitudinal shift occurred between 1995–2020, coinciding with major DEI and cultural programming trends.
++
++**Specific Case Analysis:**
++
++The authors position this as “progress,” but offer no critical reflection on the effects of displacing White imagery from national advertising narratives.
++
++Completely omits consumer preference studies in countries outside the U.S., especially in more homogeneous nations.
++{{/expandable}}
++
++{{expandable summary="📝 Critique & Observations"}}
++
++**Strengths of the Study:**
++
++Large-scale dataset across decades provides a clear empirical view of long-term trends.
++
++Useful as a benchmark of how White American preferences have evolved under sociocultural pressure.
++
++**Limitations of the Study:**
++
++Fails to ask whether increasing diversity is consumer-driven or culturally imposed.
++
++Ignores the potential alienation or displacement of White cultural identity from mainstream advertising.
++
++Assumes “diverse equals better” without testing economic or emotional impact of those shifts.
++
++**Suggestions for Improvement:**
++
++Include non-White viewer reactions to all-White or traditional American imagery for balance.
++
++Test whether consumers notice racial proportions or experience fatigue from overcorrection.
++
++Explore regional or class-based variance among White viewers, not just aggregate averages.
++{{/expandable}}
++
++{{expandable summary="📌 Relevance to Subproject"}}
++
++Demonstrates how White cultural imagery has been steadily replaced or downplayed in the public sphere.
++
++Useful for showing how marketing professionals and researchers frame White displacement as “progress.”
++
++Empirically supports the decline of White in-group preference — possibly due to reeducation, guilt framing, or media saturation.
++{{/expandable}}
++
++{{expandable summary="🔍 Suggestions for Further Exploration"}}
++
++Study how overrepresentation of minorities in advertising compares to actual demographics.
++
++Examine whether consumers feel represented or alienated by identity-based marketing.
++
++Investigate the psychological and cultural impact of long-term demographic displacement in national advertising.
++{{/expandable}}
++
++{{expandable summary="📄 Download Full Study"}}
++[[Download Full Study>>attach:10.2501_JAR-2022-028.pdf]]
++{{/expandable}}
++{{/expandable}}

lenk-et-al-white-americans-preference-for-black-people-in-advertising-has-increased-in-the-past-66-years-a-meta-analysis.pdf

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